Application of identification reference nets for the preliminary modeling on the example of electrical machines
Authors:
- Krzysztof Tomczyk,
- Marek Sieja,
- Grzegorz Nowakowski
Abstract
This paper presents the use of identification reference nets for modeling electric power system components using electrical machines as an example. To perform this type of task, a database of reference nets is necessary, to which the identification net of the modeled machine is adjusted. Both the identification reference net and identification net are obtained by using a special algorithm that allows the relevant transfer function to be converted to the rounded trajectory. This type of modeling can be a useful tool for the initial determination of parameters included in the TF associated with the electrical machines, preceding advanced parametric identification procedures, e.g., those based on artificial intelligence methods. Two types of electrical machines are considered, i.e., the squirrel-cage asynchronous and brushless direct-current machines. The solution proposed in this paper is a new approach intended for modeling electric power system components.
- Record ID
- CUTf6531ca0f14a4d12bf6502088adbfcbf
- Publication categories
- ;
- Author
- Journal series
- Energies, ISSN , e-ISSN 1996-1073, Biweekly
- Issue year
- 2021
- Vol
- 14
- No
- 11
- Pages
- [1-15]
- Article number
- 3091
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (na s.) - 14-15; Bibliografia (liczba pozycji) - 34; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 14, Iss. 11, Spec. Iss.
- Substantive notes
- Special Issue: Fault Diagnosis of Electrical Machines and Drives
- Keywords in English
- reference nets, system modeling, modeling of electric machines
- DOI
- DOI:10.3390/en14113091 Opening in a new tab
- URL
- https://www.mdpi.com/1996-1073/14/11/3091 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTf6531ca0f14a4d12bf6502088adbfcbf/
- URN
urn:pkr-prod:CUTf6531ca0f14a4d12bf6502088adbfcbf
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.